Search

Your search keyword '"Rywik S"' showing total 7 results
Start Over Author "Rywik S" Publisher elsevier
7 results on '"Rywik S"'

2. The relation of body mass index and abdominal adiposity with dyslipidemia in 27 general populations of the WHO MONICA Project

Author

Hobbs, M, Jamrozik, K, Thompson, P, Armstrong, B, de Backer, G, De Craene, I, Van Onsem, P, Van Parys, L, De Henauw, S, De Bacquer, D, Kornitzer, M, Berghmans, L, Bara, L, de Smet, P, Jeanjean, M, Brohet, C, Kulbertus, H, Degre, S, Lavenne, F, Jansens, D, Lefebvre, F, Beck, D, Wunsch, G, Bertrand, F, van Houte, M, Rime, B, Rorive, G, Hannot, R, Adrienne, A, Luyckx, A, Wolf, H, Gregor, R, Bata, I, Brownell, B, Webber, K, Skodova ́, Z, Pisa, Z, Berka, L, Cicha, Z, Cerovska ́, J, Emrova ́, R, Hoke, M, Hronkova, M, Pikhartova ́, J, Grafnetter, D, Poledne, R, Vojtisek, P, Vorlicek, J, Wiesner, E, Schroll, M, Kirchhoff, M, Sjøl, A, Quitsau Lund, S, Tuomilehto, J, Puska, P, Vartiainen, E, Korhonen, H, Jousilahti, M, Ducimetie`re, P, Richard, J, Bingham, A, Lang, T, Amouyel, P, Cottel, D, Nuttens, M, Marecaux, N, Dallongeville, J, Salomez, J, Montaye, M, Steclebout, C, Arveiler, D, Schaffer, P, Haas, V, Wagner, A, Lamamy, N, Savouret, M, Houset, M, Pierau, F, Goetz, V, Ferrie`res, J, Ruidavets, J, Cambou, J, Rodier, P, Saulet, C, Greiser, E, Herman, B, Stu ̈demann, G, Nu ̈ssel, E, Osto ̈r Lamm, E, Scheidt, R, Morgenstern, W, Stadler, M, Ganova, M, Keil, U, Tietze, M, Banos, R, Do ̈ring, A, Filipiak, B, Barth, W, Heinemann, L, Muche, J, Schmalfuss, S, Assmann, A, Bo ̈thig, S, Voigt, G, Brasche, S, Quietzsch, D, Classen, E, Sigfu ́sson, N, Gudmundsdo ́ttir, I, Stefa ́nsdo ́ttir, I, Thorsteinsson, T, Sigvaldason, H, Menotti, A, Giampaoli, S, Verdecchia, A, Righetti, G, De Pasquale, B, Di Raimo, P, Forte, E, Majetta, A, Vanuzzo, D, Feruglio, G, Pilotto, L, Cignacco, G, Marini, R, Zilio, G, Cesana, G, Ferrario, M, Sega, R, Mocarelli, P, Brambilla, P, Bluzhas, J, Domarkiene, S, Tamosiunas, A, Reklaitiene, R, Beaglehole, R, Jackson, R, Bonita, R, Stewart, A, Mahon, V, Bingley, W, Pajak, A, Sznajd, J, Kawalec, E, Pazucha, T, Malczewska, M, Mo ́rawska, I, Rywik, S, Broda, V, Polakowska, M, Kurjata, P, Varlamova, A, Britov, A, Konstantinov, V, Timofeeva, V, Alexandri, V, Konstantinova, O, Nikitin, Y, Malyutina, S, Gafarov, V, Feigin, V, Sans, S, Balaguer Vintro ́, V, Balana`, V, Gonzalez, V, Gomez, V, Borras, V, Rode ́s, A, Wilhelmsen, L, Harmsen, P, Rosengren, A, Lappas, G, Asplund, K, Huhtasaari, F, Stegmayr, B, Lundberg, V, Gutzwiller, F, Paccaud, F, Rickenbach, M, Wietlisbach, V, Barazzoni, F, Mainieri, F, Tullen, B, Evans, V, Mccrum, E, Falconer, T, Cashman, S, Patterson, C, Kerr, M, O’Reilly, D, Scott, A, Mcconville, M, Mcmillan, I, Mcmaster, D, Tunstall Pedoe, H, Smith, W, Tavendale, R, Crombie, V, Barrett, K, Brown, C, Shewry, M, Hannh, M, Morrisson, C, Planojevic, M, Jakovljevic, D, Svircevic, A, Mirilov, V, Strasser, V, Mendis, S, Martin8, I, Gyarfas8, V, Pı ́_sa8, V, Dodu8, S, Bo ̈thig8, S, Watson, M, Hill, M, Price, A, Kuulasmaa, K, Ruokokoski, E, Rajakangas, A, Ma ̈kinen, M, Virman Ojanen, T, Palonen, L, Akkila, J, Cepaitis, Z, Molarius, A, Moltchanov, V, Tolonen, H, Dobson, A, Fortmann, S, Shatchkute, A, Zaitsev, V, Epstein, F, Feinleib, M, Karvonen, M, Prineas, R, Williams, O, Hobbs, MST, Jamrozik, K., Thompson, PL, Armstrong, BK, Van Parys, L., Berghmans, L., Kulbertus, HE, Lefebvre, F., Wunsch, G., Bertrand, F., van Houte, M., Rime, B., Hannot, R., Wolf, HK, Gregor, RD, Bata, IR, Brownell, B., Pisa, Z., Berka, L., Cicha, Z., Hronkova, M., Pikhartova ́, J., Grafnetter, D., Poledne, R., Vojtisek, P., Vorlicek, J., Sjøl, A., Puska, P., Vartiainen, E., Korhonen, H., Richard, JL, Bingham, A., Cottel, D., Nuttens, MC, Marecaux, N., Dallongeville, J., Salomez, J. L., Montaye, M., Lamamy, N., Houset, M., Pierau, F., Ruidavets, JB, Cambou, JP, Rodier, P., Greiser, E., Herman, B., Nu ̈ssel, E., Osto ̈r Lamm, E., Scheidt, R., Morgenstern, W., Tietze, M., Banos, R., Do ̈ring, A., Muche, J., Schmalfuss, S., Assmann, A., Bo ̈thig, S., Voigt, G., Brasche, S., Quietzsch, D., Gudmundsdo ́ttir, II, Thorsteinsson, T., Sigvaldason H, Giampaoli, S., Righetti, G., De Pasquale, B., Forte, E., Feruglio, GA, Pilotto, L., Cignacco, G., Marini, R., Cesana, GC, Sega, R., BRAMBILLA, PAOLO, Domarkiene, S., Tamosiunas, A., Stewart, A., Kawalec, E., Pazucha, T., Malczewska, M., Rywik, SL, Broda,V, Polakowska, M., Britov, A., Nikitin, Y.u. P, Malyutina, S., Sans, S., Harmsen, P., Rosengren, A., Asplund, K., Huhtasaari, F., Stegmayr, B., Lundberg V, Paccaud, F., Rickenbach, M., Wietlisbach, V., Mainieri, F., McCrum, EE, Cashman, S., Patterson, C., Kerr, M., O’Reilly, D., Scott, A., McConville, M., McMillan, I., McMaster, D, Tunstall Pedoe, H., Smith, WCS, Tavendale, R., Barrett, K., Brown, C., Shewry, M., Hannh, M. K, Jakovljevic, D., Svircevic, A., Mirilov, V., Strasser, V., Mendis, S., Dodu8, S. R. A., Bo ̈thig8, S., Watson, M. J., Hill, M., Kuulasmaa, K., Tuomilehto, J., Rajakangas, A. M., Ma ̈kinen, M., Palonen, L., Cepaitis, Z., Molarius, A., Moltchanov, V., Dobson, A., Fortmann, SP, Epstein, FH, Karvonen, MJ, Prineas, RJ, Williams, OD, Hobbs, M, Jamrozik, K, Thompson, P, Armstrong, B, de Backer, G, De Craene, I, Van Onsem, P, Van Parys, L, De Henauw, S, De Bacquer, D, Kornitzer, M, Berghmans, L, Bara, L, de Smet, P, Jeanjean, M, Brohet, C, Kulbertus, H, Degre, S, Lavenne, F, Jansens, D, Lefebvre, F, Beck, D, Wunsch, G, Bertrand, F, van Houte, M, Rime, B, Rorive, G, Hannot, R, Adrienne, A, Luyckx, A, Wolf, H, Gregor, R, Bata, I, Brownell, B, Webber, K, Skodova ́, Z, Pisa, Z, Berka, L, Cicha, Z, Cerovska ́, J, Emrova ́, R, Hoke, M, Hronkova, M, Pikhartova ́, J, Grafnetter, D, Poledne, R, Vojtisek, P, Vorlicek, J, Wiesner, E, Schroll, M, Kirchhoff, M, Sjøl, A, Quitsau Lund, S, Tuomilehto, J, Puska, P, Vartiainen, E, Korhonen, H, Jousilahti, M, Ducimetie`re, P, Richard, J, Bingham, A, Lang, T, Amouyel, P, Cottel, D, Nuttens, M, Marecaux, N, Dallongeville, J, Salomez, J, Montaye, M, Steclebout, C, Arveiler, D, Schaffer, P, Haas, V, Wagner, A, Lamamy, N, Savouret, M, Houset, M, Pierau, F, Goetz, V, Ferrie`res, J, Ruidavets, J, Cambou, J, Rodier, P, Saulet, C, Greiser, E, Herman, B, Stu ̈demann, G, Nu ̈ssel, E, Osto ̈r Lamm, E, Scheidt, R, Morgenstern, W, Stadler, M, Ganova, M, Keil, U, Tietze, M, Banos, R, Do ̈ring, A, Filipiak, B, Barth, W, Heinemann, L, Muche, J, Schmalfuss, S, Assmann, A, Bo ̈thig, S, Voigt, G, Brasche, S, Quietzsch, D, Classen, E, Sigfu ́sson, N, Gudmundsdo ́ttir, I, Stefa ́nsdo ́ttir, I, Thorsteinsson, T, Sigvaldason, H, Menotti, A, Giampaoli, S, Verdecchia, A, Righetti, G, De Pasquale, B, Di Raimo, P, Forte, E, Majetta, A, Vanuzzo, D, Feruglio, G, Pilotto, L, Cignacco, G, Marini, R, Zilio, G, Cesana, G, Ferrario, M, Sega, R, Mocarelli, P, Brambilla, P, Bluzhas, J, Domarkiene, S, Tamosiunas, A, Reklaitiene, R, Beaglehole, R, Jackson, R, Bonita, R, Stewart, A, Mahon, V, Bingley, W, Pajak, A, Sznajd, J, Kawalec, E, Pazucha, T, Malczewska, M, Mo ́rawska, I, Rywik, S, Broda, V, Polakowska, M, Kurjata, P, Varlamova, A, Britov, A, Konstantinov, V, Timofeeva, V, Alexandri, V, Konstantinova, O, Nikitin, Y, Malyutina, S, Gafarov, V, Feigin, V, Sans, S, Balaguer Vintro ́, V, Balana`, V, Gonzalez, V, Gomez, V, Borras, V, Rode ́s, A, Wilhelmsen, L, Harmsen, P, Rosengren, A, Lappas, G, Asplund, K, Huhtasaari, F, Stegmayr, B, Lundberg, V, Gutzwiller, F, Paccaud, F, Rickenbach, M, Wietlisbach, V, Barazzoni, F, Mainieri, F, Tullen, B, Evans, V, Mccrum, E, Falconer, T, Cashman, S, Patterson, C, Kerr, M, O’Reilly, D, Scott, A, Mcconville, M, Mcmillan, I, Mcmaster, D, Tunstall Pedoe, H, Smith, W, Tavendale, R, Crombie, V, Barrett, K, Brown, C, Shewry, M, Hannh, M, Morrisson, C, Planojevic, M, Jakovljevic, D, Svircevic, A, Mirilov, V, Strasser, V, Mendis, S, Martin8, I, Gyarfas8, V, Pı ́_sa8, V, Dodu8, S, Bo ̈thig8, S, Watson, M, Hill, M, Price, A, Kuulasmaa, K, Ruokokoski, E, Rajakangas, A, Ma ̈kinen, M, Virman Ojanen, T, Palonen, L, Akkila, J, Cepaitis, Z, Molarius, A, Moltchanov, V, Tolonen, H, Dobson, A, Fortmann, S, Shatchkute, A, Zaitsev, V, Epstein, F, Feinleib, M, Karvonen, M, Prineas, R, Williams, O, Hobbs, MST, Jamrozik, K., Thompson, PL, Armstrong, BK, Van Parys, L., Berghmans, L., Kulbertus, HE, Lefebvre, F., Wunsch, G., Bertrand, F., van Houte, M., Rime, B., Hannot, R., Wolf, HK, Gregor, RD, Bata, IR, Brownell, B., Pisa, Z., Berka, L., Cicha, Z., Hronkova, M., Pikhartova ́, J., Grafnetter, D., Poledne, R., Vojtisek, P., Vorlicek, J., Sjøl, A., Puska, P., Vartiainen, E., Korhonen, H., Richard, JL, Bingham, A., Cottel, D., Nuttens, MC, Marecaux, N., Dallongeville, J., Salomez, J. L., Montaye, M., Lamamy, N., Houset, M., Pierau, F., Ruidavets, JB, Cambou, JP, Rodier, P., Greiser, E., Herman, B., Nu ̈ssel, E., Osto ̈r Lamm, E., Scheidt, R., Morgenstern, W., Tietze, M., Banos, R., Do ̈ring, A., Muche, J., Schmalfuss, S., Assmann, A., Bo ̈thig, S., Voigt, G., Brasche, S., Quietzsch, D., Gudmundsdo ́ttir, II, Thorsteinsson, T., Sigvaldason H, Giampaoli, S., Righetti, G., De Pasquale, B., Forte, E., Feruglio, GA, Pilotto, L., Cignacco, G., Marini, R., Cesana, GC, Sega, R., BRAMBILLA, PAOLO, Domarkiene, S., Tamosiunas, A., Stewart, A., Kawalec, E., Pazucha, T., Malczewska, M., Rywik, SL, Broda,V, Polakowska, M., Britov, A., Nikitin, Y.u. P, Malyutina, S., Sans, S., Harmsen, P., Rosengren, A., Asplund, K., Huhtasaari, F., Stegmayr, B., Lundberg V, Paccaud, F., Rickenbach, M., Wietlisbach, V., Mainieri, F., McCrum, EE, Cashman, S., Patterson, C., Kerr, M., O’Reilly, D., Scott, A., McConville, M., McMillan, I., McMaster, D, Tunstall Pedoe, H., Smith, WCS, Tavendale, R., Barrett, K., Brown, C., Shewry, M., Hannh, M. K, Jakovljevic, D., Svircevic, A., Mirilov, V., Strasser, V., Mendis, S., Dodu8, S. R. A., Bo ̈thig8, S., Watson, M. J., Hill, M., Kuulasmaa, K., Tuomilehto, J., Rajakangas, A. M., Ma ̈kinen, M., Palonen, L., Cepaitis, Z., Molarius, A., Moltchanov, V., Dobson, A., Fortmann, SP, Epstein, FH, Karvonen, MJ, Prineas, RJ, and Williams, OD

Abstract

Background and aims: The association between adiposity measures and dyslipidemia has seldom been assessed in a multipopulational setting. Methods and results: 27 populations from Europe, Australia, New Zealand and Canada (WHO MONICA project) using health surveys conducted between 1990 and 1997 in adults aged 35-64 years (n = 40,480). Dyslipidemia was defined as the total/HDL cholesterol ratio >6 (men) and >5 (women).Overall prevalence of dyslipidemia was 25% in men and 23% in women. Logistic regression showed that dyslipidemia was strongly associated with body mass index (BMI) in men and with waist circumference (WC) in women, after adjusting for region, age and smoking. Among normal-weight men and women (BMI<25 kg/m2), an increase in the odds for being dyslipidemic was observed between lowest and highest WC quartiles (OR = 3.6, p < 0.001). Among obese men (BMI ≥ 30), the corresponding increase was smaller (OR = 1.2, p = 0.036). A similar weakening was observed among women. Classification tree analysis was performed to assign subjects into classes of risk for dyslipidemia. BMI thresholds (25.4 and 29.2 kg/m2) in men and WC thresholds (81.7 and 92.6 cm) in women came out at first stages. High WC (>84.8 cm) in normal-weight men, menopause in women and regular smoking further defined subgroups at increased risk. Conclusion: standard categories of BMI and WC, or their combinations, do not lead to optimal risk stratification for dyslipidemia in middle-age adults. Sex-specific adaptations are necessary, in particular by taking into account abdominal obesity in normal-weight men, post-menopausal age in women and regular smoking in both sexes

Published
2013

3. Total cholesterol and mortality in China, Poland, Russia, and the US.

Author

Cai J, Pajak A, Li Y, Shestov D, Davis CE, Rywik S, Li Y, Deev A, and Tyroler HA

Subjects
Adult, Bayes Theorem, Biomarkers blood, Cardiovascular Diseases mortality, Cause of Death, China epidemiology, Cholesterol classification, Coronary Disease mortality, Female, Humans, Male, Middle Aged, Poland epidemiology, Proportional Hazards Models, Risk Assessment, Risk Factors, Russia epidemiology, United States epidemiology, Cholesterol blood, Mortality trends
Abstract

Purpose: To examine the relationships of total and cause-specific mortality to serum cholesterol in four diverse populations., Methods: Chinese, Polish, Russian, and US population-based samples were studied. The relationship between cholesterol levels and mortality was assessed by Cox proportional hazard regression with restricted piecewise cubic splines., Results: The cholesterol and total mortality relationship was statistically significantly J-shaped for all men combined. In country-specific relationships, cholesterol was significantly, linearly, and positively related to total mortality in Russian and US men. For women, the relationship was non-linear, but not statistically significant, and became statistically significant upon adjustment for other risk factors. For Polish women, a statistically significant inverse relationship existed. CHD mortality and cardiovascular disease (CVD) mortality increased linearly with cholesterol in Polish, Russian, and US men and the aggregate of men, but there was no relationship for women. Cancer mortality was not related to cholesterol except for the Polish cohort and Russian women, where there was an inverse relationship., Conclusions: Serum cholesterol was a strong, consistent predictor of CHD and CVD mortality in Polish, Russian, and US men despite their social diversity. In contrast to CHD mortality, the relation of cholesterol to total mortality and non-CVD mortality varied by country and gender.

Published
2004
Full Text
View/download PDF

4. Poland and U.S. collaborative study on cardiovascular epidemiology hypertension in the community: prevalence, awareness, treatment, and control of hypertension in the Pol-MONICA Project and the U.S. Atherosclerosis Risk in Communities Study.

Author

Rywik SL, Davis CE, Pajak A, Broda G, Folsom AR, Kawalec E, and Williams OD

Subjects
Blood Pressure, Female, Humans, Hypertension complications, Male, Maryland epidemiology, Middle Aged, Minnesota epidemiology, Poland epidemiology, Prevalence, Risk Factors, Treatment Outcome, Cardiovascular Diseases etiology, Health Knowledge, Attitudes, Practice, Hypertension epidemiology, Hypertension prevention & control, Rural Health, Urban Health
Abstract

Purpose: The objectives of this manuscript are to assess differences in blood pressure levels and in hypertension prevalence, awareness, treatment, and control for selected rural and urban areas in the U.S. and Poland, where ischemic heart disease mortality trends are different., Methods: Included are white persons aged 45-64 selected in Minneapolis, MN suburbs [urban] and Washington County, MD [semi-rural] from the U.S. Atherosclerosis Risk in Communities Study (ARIC) surveyed in 1987-89, and in Warsaw [urban] and Tarnobrzeg Province [semi-rural] from Poland's Pol-MONICA Project surveyed in 1987-88. Sample sizes were: U.S.--3,696 men, 3,801 women; Poland--875 men, 960 women., Results: Mean blood pressures were > 15% higher for Polish samples than for the U.S. (p < 0.01). In multivariable analysis, hypertension was significantly positively related to age and body mass index (BMI) in both U.S. and Polish samples (except age in Polish men), and to heart rate in Polish samples and U.S. rural women. Smoking was significantly negatively related to hypertension in urban Polish and rural U.S. men. Hypertension awareness, treatment, and control were better in U.S. than in Polish samples. In the U.S. > 80% of subjects with hypertension (systolic blood pressure (SBP) > or = 160 mmHg or diastolic blood pressure (DBP) > or = 95 mmHg or on treatment) were controlled whereas in Polish samples < or = 17% of hypertensive men and 16% of hypertensive women were controlled. When SBP > or = 140 mmHg or DBP > or = 90 mmHg or on treatment defined hypertension, control was about 55% in U.S. samples and about 2% in Polish samples., Conclusions: Hypertension prevalence is higher and blood pressure levels are less well controlled in Polish than in U.S. samples. These striking differences can be expected to contribute to opposing trends in coronary heart disease (CHD) mortality in the two countries. Hypertension control programs in the U.S. are almost certainly responsible for much of the observed differences. There is a clear need for similar programs in Poland.

Published
1998
Full Text
View/download PDF

5. Changes over time in blood lipids and their correlates in Polish rural and urban populations: the Poland-United States Collaborative Study in cardiopulmonary disease epidemiology.

Author

Pajak A, Williams OD, Broda G, Baczynska E, Rywik S, Davis CE, Kawalec E, Chodkowska E, Irving S, and Manolio T

Subjects
Adult, Cardiovascular Diseases blood, Cholesterol, HDL blood, Cholesterol, LDL blood, Cohort Studies, Energy Intake, Epidemiologic Methods, Female, Humans, Life Style, Male, Middle Aged, Poland epidemiology, Risk Factors, Sampling Studies, United States, Lipids blood, Rural Population, Urban Population
Abstract

Purpose: The purpose of this manuscript is to examine changes in blood lipid levels and related factors between 1983 and 1987 in two selected Polish populations, to evaluate these changes and their association with other coronary heart disease (CHD) risk factors, and to examine the nutrient intake changes for consistency with observed lipid changes., Methods: Men and women, aged 35-64 were screened from Warsaw and rural Tarnobrzeg province, Poland-the Pol-MONICA screening sites. An independent random sample of 5132 screened in 1983-84 and a second independent random sample of 2596 screened in 1987-88 were compared. A 25% cohort of the 1983-84 sample was also rescreened in 1987-88 (n = 1236) and 24-hour dietary recall information on this cohort was used to evaluate nutrient intake changes and their relationship to the lipid changes., Results: For the random samples, the total cholesterol increased by 5.1 mg/dL (rural) and by 7.9 mg/dL (urban) for women; there were no significant changes among men. Low-density lipoprotein cholesterol (LDL-C) increased for all site and gender subgroups by 5.4-8.7 mg/dL. Among rural men and women, high-density lipoprotein cholesterol (HDL-C) decreased by 3.4 and 3.3 mg/dL, respectively, whereas it increased by 3.3 mg/dL among urban women and did not change among urban men. Total triglycerides (TG) increased by 9.5 mg/dL for rural men, with no significant change for rural women. For urban men and women, TG decreased by 29.5 and 21.8 mg/dL respectively. In the cohort, changes in dietary intake (decreases in energy from fat, Keys index and increases in the polyunsaturated to saturated fats ratio) were related to a decrease in TC at both sites and to a decrease or smaller increase in LDL-C for rural men., Conclusions: The observed changes were generally unfavorable, with a decrease in the proportion of persons with desirable lipid levels. At both sites nutritional changes were favorable, including a drop in total energy intake. Less pronounced were changes in percentages of total energy from fats, where the only significant decrease was for rural women; however, improvements in dietary fat composition and declines in cholesterol consumption were found. These favorable changes in diet were not strong enough or were not in effect long enough to counter the unfavorable changes in blood lipids.

Published
1997
Full Text
View/download PDF

6. Natural menopause and cardiovascular disease risk factors. The Poland and US Collaborative Study on Cardiovascular Disease Epidemiology.

Author

Davis CE, Pajak A, Rywik S, Williams DH, Broda G, Pazucha T, and Ephross S

Subjects
Blood Pressure, Body Mass Index, Cholesterol, LDL blood, Cross-Sectional Studies, Female, Humans, Middle Aged, Poland, Postmenopause physiology, Premenopause physiology, Risk Factors, Triglycerides blood, Cardiovascular Diseases epidemiology, Cholesterol blood, Menopause physiology, Postmenopause blood, Premenopause blood
Abstract

Changes in risk factor levels associated with menopause have been reported in many studies in the United States and western Europe, where estrogen replacement therapy and surgical menopause are common. We studied risk factor associations in Polish women, for whom estrogen replacement therapy and surgical menopause are uncommon. The 357 postmenopausal women had higher total cholesterol levels (0.43 mmol/L) and low-density-lipoprotein cholesterol levels (0.36 mmol/L than did the 372 premenopausal women of similar ages. Triglycerides, high-density-lipoprotein cholesterol, body mass index, and blood pressure did not differ by menopausal status. We conclude that natural menopause is associated with higher levels of total and low-density-lipoprotein cholesterol levels. Natural menopause is not associated with large changes in other risk factors in this sample.

Published
1994
Full Text
View/download PDF

7. Poland-US collaborative study on cardiovascular epidemiology: classification agreement between US National Cholesterol Education Program and European Atherosclerosis Society hyperlipidemia guidelines in selected Polish and US populations.

Author

Pajak A, Broda G, Abernathy JR, Sznajd J, Rywik S, Irving SH, Czarnecka H, Wagrowska H, Thomas RP, and Celinski A

Subjects
Adult, Female, Humans, Hyperlipidemias blood, Hyperlipidemias therapy, Male, Middle Aged, Poland, Risk Factors, United States, Hyperlipidemias classification
Abstract

Data from two epidemiological studies are used to measure the degree to which two well-known guidelines agree in measuring hyperlipidemia in population samples in the US and Poland. The epidemiological studies are the US Lipid Research Clinics Program Prevalence Study and the Pol-MONICA project in Poland and the guidelines are those adopted by the US National Cholesterol Program (USNCEP) and by the European Atherosclerosis Society (EAS). EAS guidelines were analyzed in two ways: Method 1 used triglycerides and total cholesterol only in classifying persons as hyperlipidemics or non-hyperlipidemics; Method 2 used triglycerides, total cholesterol and nine additional risk factors in the classification process. USNCEP guidelines used total cholesterol, low density lipoprotein cholesterol and the same additional nine risk factors used in EAS Method 2 in classifying hyperlipidemics. Classification differences between the two sets of guidelines were high when EAS Method 1 guidelines were compared with USNCEP guidelines. However, EAS Method 2 which included risk factors, compared favorably with USNCEP guidelines in all three populations under study.

Published
1992
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results